Department of Ecology and Evolution, University of Lausanne, Lausanne, Switzerland.
Centre Emys, Association de Protection et Récupération des Tortues, Chavornay, Switzerland.
Mol Ecol Resour. 2021 Feb;21(2):433-447. doi: 10.1111/1755-0998.13277. Epub 2020 Nov 4.
High-throughput sequencing has become an accurate method for the identification of species present in soil, water, faeces, gut or stomach contents. However, information at the species level is limited due to the choice of short barcodes and based on the idea that DNA is too degraded to allow longer sequences to be amplified. We have therefore developed a long DNA metabarcoding method based on the sequencing of short reads followed by de novo assembly, which can precisely identify the taxonomic groups of organisms associated with complex diets, such as omnivorous individuals. The procedure includes 11 different primer pairs targeting the COI gene, the large subunit of the ribulose-1,5-bisphosphate carboxylase gene, the maturase K gene, the 28S rRNA and the trnL-trnF chloroplastic region. We validated this approach using 32 faeces samples from an omnivorous reptile, the European pond turtle (Emys orbicularis, L. 1758). This metabarcoding approach was assessed using controlled experiments including mock communities and faecal samples from captive feeding trials. The method allowed us to accurately identify prey DNA present in the diet of the European pond turtles to the species level in most of the cases (82.4%), based on the amplicon lengths of multiple markers (168-1,379 bp, average 546 bp), and produced by de novo assembly. The proposed approach can be adapted to analyse various diets, in numerous conservation and ecological applications. It is consequently appropriate for detecting fine dietary variations among individuals, populations and species as well as for the identification of rare food items.
高通量测序已成为一种准确的方法,可用于鉴定土壤、水、粪便、肠道或胃内容物中的物种。然而,由于选择了短条形码,并且基于 DNA 降解得太严重以至于无法扩增更长序列的想法,因此在物种水平上的信息是有限的。因此,我们开发了一种基于短读测序和从头组装的长 DNA 宏条形码方法,该方法可以精确识别与复杂饮食相关的生物体的分类群,例如杂食动物个体。该程序包括针对 COI 基因、核酮糖-1,5-二磷酸羧化酶大亚基基因、成熟酶 K 基因、28S rRNA 和 trnL-trnF 质体区域的 11 对不同引物。我们使用来自杂食性爬行动物欧洲池龟(Emys orbicularis,L. 1758)的 32 个粪便样本验证了这种方法。这种宏条形码方法通过包括模拟群落和圈养喂养试验的粪便样本的对照实验进行评估。该方法允许我们根据多个标记物(168-1,379 bp,平均 546 bp)的扩增子长度和从头组装,准确地识别欧洲池龟饮食中的猎物 DNA 到物种水平(82.4%)。所提出的方法可以适应分析各种饮食,在众多保护和生态应用中。因此,它适合于检测个体、种群和物种之间的细微饮食变化,以及识别稀有食物。